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a formula for a line that models a linear relationship between two quantitative variables |
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the observed y mines the predicted y; denoted y - yhat |
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a plot that show how well the regression line fits the data; complete scatter plot in a shoebox form is good, |
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the shape in a residual plot that means there is unequal variance in the y's across all levels of x (the standard deviation doesn't stay the same) |
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the shape in a residual plot that means the data is not linear |
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the random variable of the sampling distribution of x bar |
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the list of all possible outcomes of a random phenomenon |
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sampling distribution of x bar |
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a distribution of all possible x bars from all possible samples |
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the variability of sample results from one sample to the next; something we must measure in order to effectively do inference |
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a two dimensional plot used to examine strength of relationship between two variables as well as direction and type of relationship |
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significance level (alpha) |
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the risk (probability) of incorrectly rejecting a true null hypothesis. when p is low reject Ho and conclude that Ha is correct |
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simple conditions for inference |
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SRS, population normally distributed and sigma known |
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when percentages in a two way table reverse because a third (lurking) variable is ignored (Larry Bird and free throws) |
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using random numbers to imitate chance behavior |
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a measure of the average change in the response variable (Y) for every one unit increase in the explanatory variable (X) |
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a measure of the variability of the data in a sample about x bar |
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standard deviation of x bar (also called standard deviation of the sampling distribution of x bar) |
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a measure of the variability of the values of the statistic x bar about mu; computed as sigma over the square root of n. |
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a number computed from sample data (without any knowledge of the value of a parameter) used to estimate the value of a parameter |
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x bar, s, p hat: mean of a sample, standard deviation of a sample, proportion of a sample |
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statistical process control |
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a procedure used to check a process at regular intervals to detect problems and correct them before they become serious. |
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statistically significant |
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results of a study that differ too much from what we expected (if Ho were true) because of randomization to attribute to chance variation; the difference between the observed statistic and the claimed parameter value is too large to be due to chance. Happens when p value is lower than alpha |
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the residuals are squared and added; denoted SSE |
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procedure used to assess the evidence against a claim (hypothesis) about the value of a parameter |
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a number that summarizes the data for a test of significance; usually used to obtain p value |
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the sum of the squared deviations of the Y observations about their mean, y-bar |
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a type of alternative hypothesis where the researcher is interested in deviations in both directions |
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a table containing counts for two categorical variables. it has r rows and c columns. |
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a condition where the mean of the statistic values equals the parameter that the statistic estimates |
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the sum of squared residuals |
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the symbol for explanatory variable |
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a plot of sample means over time used to assess whether a process is in control |
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the symbol for response variable |
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the symbol for predicted y |
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the z-value obtained from table C corresponding to a desired level of confidence; used in computing a confidence interval |
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a measure of the number of standard deviations of a value or observation from the mean |
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the probability that the value of the parameter mu is in the confidence interval. OR the probability that the null hypothesis is true |
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